Overall Equipment Effectiveness( OEE )

Overview

In lean six sigma, one uses Overall Equipment Effectiveness ( OEE ) in equipment maintenance to determine equipment reliability and equipment availability. If you have a maintenance background and are familiar with Overall Equipment Effectiveness, do not skip this overview. For lean six sigma, there are some key differences to consider.

Lean Sigma extensively uses the notion of entitlement, which means perfection of the process. The goal for any process is 100% yield and zero defect rate. The goal for machine capacity is 100% use. Capacity is a slightly trickier metric to apply entitlement to, but Overall Equipment Effectiveness helps us measure this.

OEE represents the percentage of process capacity entitlement:

In simple terms, a process achieves 100% overall equipment effectiveness when it is up (running) doing only value added work 100% of the time, running at its fastest speed, and producing 100% perfect quality. Based on this OEE is broken into three elements,

OEE = %Uptime x %Pace x %Quality

The major difference from the maintenance version of Overall Equipment Effectiveness is addition of %Uptime.

In maintenance terms, %Uptime measures the percentage of available process time to do work. This includes non value add work. But in Lean Sigma, %Uptime measures the percentage of time that the process is doing only value add work, which typically is significantly less than maintenance %Uptime.

Logistics

Although one person could measure Overall Equipment Effectiveness, in practice it takes a team to gather the data correctly calculate the results.

The team typically captures the data for a minimum of 24 weeks to be meaningful. The time period depends on the drumbeat of the process and the frequency of things, such as changeovers and maintenance time. For some large equipment processes, data for a whole year might be more relevant.

During the data collection time the team concurrently records three measurement points, one for %Uptime, one for %Pace, and one for %Quality.

Process operators must participate in the data capture, so planning and communication are key. Create a clear operational definition of the metric to explain the measurement.

After completing the initial analysis complete, continue capturing this measurement on an ongoing basis.

Utilize this metric to look for opportunity, but not as a typical operations metric to judge supervisor or employee performance.

%Uptime brings a whole new perspective to a process. You may find processes that were previously seen as nearing 100% utilization are now less than 50% utilized.

To best collect the data, put each activity's time into predetermined buckets representing the above possible classifications. Normally you manually collect the data with the operator recording times on a activity table throughout the day. Clearly explained the purpose to the operators. This prevents them from "massaging" the data because it's not in their interest to do so.

After gathering the data analyse it in a simple Pareto Chart or Pie Chart

Variants of Measurements

The time parameter %Uptime is 24 hours, 7 days a week. This often represents the simplest capacity expansion option, But most processes don't work 24 hours a day, 7 days a week. From the point of view of the OEE metric, you usually deal with this issue by introducing these additional metrics:

Overall Equipment Effectiveness for the current shift

Overall Equipment Effectiveness for 24 hours and weekdays only

OEE for 8 hours and 5 days a week

Obviously one can use many possible variants depending on the current business situation.

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2- % Pace

Often confuse with %Uptime and %Quality, this is usually the trickiest of the three Overall Equipment Effectiveness sub-metrics to measure. Max pace cannot be achieved because sometimes processes slow down but entities still flow through the process. The reduce flow rate maybe due to resource or material constraints, or to ensure good product is being made (hence the confusion with %Quality).

To calculate %Pace, you must determine the Peak Rate of the process in units per unit time. Calculate this on a short duration (usually 14 hours of processing). After finding the peak rate, you label this d as the entitlement rate.

Now determine the typical processing rate. Calculate this by determining the average number of entities processed during the actual working time of the process. Collect this data over the period of a week or two. Keep the measuring unit the same as peak rate.

Variants

Another entirely equivalent method of determining the %Pace is to judge the process by the time it takes to process a single unit. To calculate this you need to know the ideal cycle time. Calculate cycle time as the time between units exiting the process. Ideal cycle time is the time when there is literally no constraints, such as resources. Ideal cycle time equates to the instantaneous Peak Rate expressed in time (the fastest the rate, the shorter the time).

After the calculating the ideal cycle time, simply determine the average cycle time by capturing actual data during the uptime of the process. %Pace is the ratio of the two numbers:

3- % Quality

The quality rate is probably the simplest of the three sub-metrics. See the below equation:

In simple terms, it is the percentage of correctly produced units in a given time. Quality groups collect this data as a matter of course and a months worth of data more than suffices for the %Quality metric.

Capacity Loss Classification

The table below helps with the most common capacity loss categorizations.

For some processes, the %Pace and %Quality are linked and the quality degrades as the pace is increased. In these cases, make a composite metric of Pace and Quality such as weight of good product per hour. You still deal with uptime separately. The new OEE equation is

OEE = %Uptime x %(Rate of Quality Product)

Identify instantaneous best rate of quality product from historical data, or calculated from basic scientific principles (mass continuity, and so on).

Interpreting the Output

2) The best place to look to improve the process (Uptime, Pace, or Quality)

This information guides the next steps in the project. If the OEE is running greater than 90%, then the process really doesn't have much opportunity to get better, any change would be tricky to find.

But typically OEE value for a production line is around 5% to 10%. If the OEE is less than 50% then there is ample opportunity to apply a project to the process and capture additional capacity. This assumes that there are additional sales for the capacity, because without it, the whole exercise is pretty much a waste of time.

The tool guides the team to the best place to capture additional capacity. Focus your projects on the easiest path. Unless one category obvious shows a shortfall, look to all three categories for improvement. It is easier to find a percentage here and there, rather than to find it all in the same place.

Other OEE

Overall Equipment Effectiveness can be applied to people. Deal with people carefully, as not many employees like to be examine for their percentage of VA activity. But this can be useful if that person is a constrained resource (such as lack of technical expertise).

An example of this is shown in Figure below where a diagnostic technician conducts procedures in a room with specialized equipment.

Because the combined resources room, equipment, and technician are required to conduct a procedure, an OEE for the room and equipment is required as well as for the Technician.